Co-occurring keywords · papers mentioning both
Papers
A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models
UAI 2026
Estimation of Local Geometric Structure on Manifolds from Noisy Data
JMLR 2025
Fully Hyperbolic Neural Networks
ACL 2022
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis
CVPR 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
AAAI 2021
Tangent Space Backpropagation for 3D Transformation Groups
CVPR 2021
Manifold-regression to predict from MEG/EEG brain signals without source modeling
NeurIPS 2019
A Dirichlet Process Mixture Model for Spherical Data
AISTATS 2015
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
ICML 2015
Manifold-valued Dirichlet Processes
ICML 2015
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
CVPR 2013